Abstract: A sensor includes: two friction layers and at least one electrode layer. The two friction layers are respectively made of materials with different electron gain and loss capabilities, and a surface of at least one friction layer includes a multi-level micro-nano structure, so that when there is pressure, equal-quantity and opposite net charges corresponding to the applied pressure are induced on the two friction layers. The multi-level micro-nano structure includes micro-nano columnar structures with at least two different heights. The electrode layer is configured to generate a current based on the net charges. The multi-level structure with different heights is designed.

Abstract: A multifunctional sensor includes a substrate and a sensitive layer located on the substrate. The sensitive layer includes at least two different sensitive elements (1, 2, . . . , n) for responding to at least two different types of ambient signals. The sensitive elements (1, 2, . . . , n) are in linear structures, and the linear structures are arranged at equal spacings. The sensitive layer further includes at least two electrode pairs for connecting to a readout circuit. One electrode pair corresponds to one sensitive element (1, 2, . . . , n). The readout circuit is configured to obtain measured values respectively corresponding to the at least two different sensitive elements (1, 2, . . . , n). Different types of sensitive elements (1, 2, . . . , n) are designed as linear structures at equal spacings to ensure consistency of the different sensitive elements (1, 2, . . . , n) in a sensing region.

Abstract: A pose estimation method and an apparatus are provided, to obtain a more accurate pose estimation result. The method includes: obtaining a first event image and a first target image, where the first event image is aligned with the first target image in time sequence, the first target image includes an RGB image or a depth image, and the first event image includes an image indicating a movement trajectory that is of a target object and that is generated when the target object moves in a detection range of a motion sensor; determining integration time of the first event image; if the integration time is less than a first threshold, determining that the first target image is not for performing pose estimation; and performing pose estimation based on the first event image.

Abstract: This application discloses an image generation method and apparatus, and an electronic device, and relates to the field of image processing. The method includes: acquiring a spectrum image of a first scene by using a first camera that supports more photosensitive bands than a second camera, and acquiring a color image of a second scene by using a second camera, where both the color image and the spectrum image include a same target object; then, correcting a color cast of a reconstructed spectrum image of the color image based on the spectrum image, to acquire a plurality of corrected reconstructed spectrum images; and fusing the plurality of corrected reconstructed spectrum images to generate a corrected color image whose color is closer to a color of the second scene than a color of the color image.